Alejandro Diaz

Résumé

Mountain View, CA · [email protected] · GitHub · LinkedIn

Summary

Software engineer at Google, Georgia Tech master’s graduate, and — by undergraduate decree — an economist. I spend my days convincing distributed systems to be smaller and faster, and my evenings convinced that every problem is a spreadsheet problem if you squint hard enough. Off the clock I read science fiction, watch 1970s cinema, and self-host services nobody asked me to self-host.

Experience

Software Engineer

Google · May 2022 – Present · Sunnyvale, California

  • Built personalization-context and credential-management infrastructure for Gemini Enterprise, including template-based prompt-injection protections for end-user workflows.
  • Designed a Bigtable-backed asynchronous write-forwarding architecture between serving and batch replicas, achieving 3ms write latency and reducing infrastructure costs.
  • Re-architected distributed C++ batch data pipeline, reducing average per-job memory usage by 50%; added execution checkpointing, rate throttling, and property-based fuzz testing.
  • Led cross-team hill-climbing for an LLM-based financial-personalization product, coordinating with Google Wallet to diagnose weaknesses from human-evaluation trials; iterated on requirements and model behavior, improving grounding and usability by 30% ahead of launch.
  • Optimized the backend for an Android Generative AI feature, implementing query-ontology heuristics to bypass redundant LLM inference and cutting p99 latency by 80% (from 1.5s to <300ms).

Data Analyst Manager

United Parcel Service (UPS) · Nov 2018 – Nov 2019 · Sandy Springs, Georgia

  • Built automated reporting applications by redesigning SQL database tables and integrating more than 500,000 data records with Python, VBA, and Microsoft SQL Server workflows.
  • Replaced CSV-export reporting processes with SQL-based pipelines, reducing average reporting workload from hours to minutes using Python, Pandas, and T-SQL.

Projects

Text to Speech Service (2026)

  • Developed and self-hosted a text-to-speech service for a personal digital-library workflow, designing containerized APIs and automation to turn written content into accessible long-form audio.

AI Agent (2021)

  • Architected an AI agent based on Newell’s SOAR to solve Raven’s Progressive Matrices, leveraging computer vision (i.e., scale-invariant feature transformation (SIFT)), NumPy, and OpenCV, resulting in a success rate of 70%.

Technical Skills

  • Languages: C++, Python, Go, Java, SQL, TypeScript, Blaze, Bash
  • Systems & Infrastructure: Bigtable, Spanner, gRPC, distributed systems, asynchronous processing, event-driven architecture, message queues, caching, Docker, Linux, CMake
  • Engineering: API design, REST APIs, unit testing, integration testing, property-based testing, performance optimization, concurrency, system design
  • Additional: Google Cloud, Git, OPNSense

Education

Master of Science in Computer Science

Georgia Institute of Technology · Jan 2021 – May 2023 · Atlanta, GA · GPA 4.0 / 4.0

Bachelor of Arts in Economics, Minor in History

The University of Georgia · Aug 2013 – May 2017 · Athens, GA